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1D and 2D annotation enrichment: a statistical method integrating quantitative proteomics with complementary high-throughput data

Overview of attention for article published in BMC Bioinformatics, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
462 Dimensions

Readers on

mendeley
483 Mendeley
citeulike
3 CiteULike
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Title
1D and 2D annotation enrichment: a statistical method integrating quantitative proteomics with complementary high-throughput data
Published in
BMC Bioinformatics, November 2012
DOI 10.1186/1471-2105-13-s16-s12
Pubmed ID
Authors

Juergen Cox, Matthias Mann

Mendeley readers

The data shown below were compiled from readership statistics for 483 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 7 1%
Germany 5 1%
Netherlands 3 <1%
United States 3 <1%
France 2 <1%
Ireland 1 <1%
Austria 1 <1%
Brazil 1 <1%
India 1 <1%
Other 6 1%
Unknown 453 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 126 26%
Researcher 116 24%
Student > Master 59 12%
Student > Bachelor 34 7%
Student > Doctoral Student 26 5%
Other 60 12%
Unknown 62 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 176 36%
Biochemistry, Genetics and Molecular Biology 134 28%
Chemistry 20 4%
Medicine and Dentistry 19 4%
Computer Science 13 3%
Other 46 10%
Unknown 75 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 November 2017.
All research outputs
#3,918,842
of 19,372,190 outputs
Outputs from BMC Bioinformatics
#1,635
of 6,592 outputs
Outputs of similar age
#81,362
of 292,370 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 24 outputs
Altmetric has tracked 19,372,190 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,592 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 292,370 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.